Bibliographic record
Abstract
This book focuses on how we should treat philosophy’s theoretical representations. It argues in favor of an instrumentalist attitude towards pivotal cases of theoretical representation in philosophy that are commonly regarded under a realist attitude. Philosophy is awash with theoretical representations, which raises the question of how we should regard them. This book argues that representations in philosophy should not be regarded under a realist attitude by default as individually disclosing the nature of what they represent. Ori Simchen introduces the reader to the general theme of representations in philosophy and our attitudes towards them via case studies: numbers, modality, and belief. He offers a framework for deciding when a realist attitude towards a theoretical representation is warranted and concludes that the representations deployed in the case studies fail the proposed test. The next part of the book illustrates the attractiveness of attitudinal instrumentalism towards representations in semantics, in the philosophy of mind, and within the problematics of rule-following. Philosophical Representation will appeal to researchers and advanced students working in philosophy of language, philosophy of mind, metaphysics, philosophical logic, and philosophical methodology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".